Dataset Report

Dataset statistics

Number of variables	21
Number of observations	23547
Missing cells	66918
Missing cells (%)	13.5%
Duplicate rows	1
Duplicate rows (%)	< 0.1%
Total size in memory	3.8 MiB
Average record size in memory	168.0 B

Variable types

Categorical	8
Numeric	13

Warnings

Dataset has 1 (< 0.1%) duplicate rows	Duplicates
`Suburb` has a high cardinality: 336 distinct values	High cardinality
`Address` has a high cardinality: 23108 distinct values	High cardinality
`SellerG` has a high cardinality: 330 distinct values	High cardinality
`Date` has a high cardinality: 58 distinct values	High cardinality
`Rooms` is highly correlated with `Bedroom2`	High correlation
`Bedroom2` is highly correlated with `Rooms`	High correlation
`Price` has 5151 (21.9%) missing values	Missing
`Bedroom2` has 4481 (19.0%) missing values	Missing
`Bathroom` has 4484 (19.0%) missing values	Missing
`Car` has 4626 (19.6%) missing values	Missing
`Landsize` has 6137 (26.1%) missing values	Missing
`BuildingArea` has 13529 (57.5%) missing values	Missing
`YearBuilt` has 12007 (51.0%) missing values	Missing
`CouncilArea` has 7891 (33.5%) missing values	Missing
`Lattitude` has 4304 (18.3%) missing values	Missing
`Longtitude` has 4304 (18.3%) missing values	Missing
`Landsize` is highly skewed (γ1 = 106.0673053)	Skewed
`BuildingArea` is highly skewed (γ1 = 88.59840308)	Skewed
`Address` is uniformly distributed	Uniform
`Car` has 1385 (5.9%) zeros	Zeros
`Landsize` has 2437 (10.3%) zeros	Zeros

Reproduction

Analysis started	2021-04-11 07:41:53.505870
Analysis finished	2021-04-11 07:42:15.901414
Duration	22.4 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

Suburb
Categorical

HIGH CARDINALITY

Distinct	336
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	184.1 KiB

Reservoir	629
Bentleigh East	429
Richmond	416
Glen Iris	378
Preston	357
Other values (331)	21338

Length

Max length	18
Median length	9
Mean length	9.783029685
Min length	3

Characters and Unicode

Total characters	230361
Distinct characters	49
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	23 ?
Unique (%)	0.1%

Sample

1st row	Abbotsford
2nd row	Abbotsford
3rd row	Abbotsford
4th row	Abbotsford
5th row	Abbotsford

Value	Count	Frequency (%)
Reservoir	629	2.7%
Bentleigh East	429	1.8%
Richmond	416	1.8%
Glen Iris	378	1.6%
Preston	357	1.5%
Kew	357	1.5%
Brighton	348	1.5%
South Yarra	331	1.4%
Brunswick	330	1.4%
Hawthorn	318	1.4%
Other values (326)	19654	83.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
east	1964	6.0%
north	1277	3.9%
south	913	2.8%
melbourne	789	2.4%
west	786	2.4%
bentleigh	663	2.0%
brunswick	656	2.0%
brighton	641	2.0%
reservoir	629	1.9%
balwyn	548	1.7%
Other values (283)	23600	72.7%

Most occurring characters

Value	Count	Frequency (%)
e	20686	9.0%
r	19501	8.5%
o	19438	8.4%
n	16683	7.2%
a	15593	6.8%
t	14219	6.2%
l	12814	5.6%
i	10763	4.7%
s	10712	4.7%
	8919	3.9%
Other values (39)	81033	35.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	188923	82.0%
Uppercase Letter	32519	14.1%
Space Separator	8919	3.9%

Most frequent character per category

Value	Count	Frequency (%)
e	20686	10.9%
r	19501	10.3%
o	19438	10.3%
n	16683	8.8%
a	15593	8.3%
t	14219	7.5%
l	12814	6.8%
i	10763	5.7%
s	10712	5.7%
h	7734	4.1%
Other values (15)	40780	21.6%

Value	Count	Frequency (%)
B	3506	10.8%
E	2884	8.9%
M	2778	8.5%
S	2453	7.5%
H	2408	7.4%
C	2275	7.0%
P	2055	6.3%
N	1974	6.1%
W	1661	5.1%
A	1649	5.1%
Other values (13)	8876	27.3%

Value	Count	Frequency (%)
	8919	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	221442	96.1%
Common	8919	3.9%

Most frequent character per script

Value	Count	Frequency (%)
e	20686	9.3%
r	19501	8.8%
o	19438	8.8%
n	16683	7.5%
a	15593	7.0%
t	14219	6.4%
l	12814	5.8%
i	10763	4.9%
s	10712	4.8%
h	7734	3.5%
Other values (38)	73299	33.1%

Value	Count	Frequency (%)
	8919	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	230361	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	20686	9.0%
r	19501	8.5%
o	19438	8.4%
n	16683	7.2%
a	15593	6.8%
t	14219	6.2%
l	12814	5.6%
i	10763	4.7%
s	10712	4.7%
	8919	3.9%
Other values (39)	81033	35.2%

Address
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	23108
Distinct (%)	98.1%
Missing	0
Missing (%)	0.0%
Memory size	184.1 KiB

5 Charles St	5
13 Robinson St	3
16 Smith St	3
36 Aberfeldie St	3
7 Churchill Av	3
Other values (23103)	23530

Length

Max length	27
Median length	13
Mean length	13.60394105
Min length	8

Characters and Unicode

Total characters	320332
Distinct characters	64
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	22692 ?
Unique (%)	96.4%

Sample

1st row	68 Studley St
2nd row	85 Turner St
3rd row	25 Bloomburg St
4th row	18/659 Victoria St
5th row	5 Charles St

Value	Count	Frequency (%)
5 Charles St	5	< 0.1%
13 Robinson St	3	< 0.1%
16 Smith St	3	< 0.1%
36 Aberfeldie St	3	< 0.1%
7 Churchill Av	3	< 0.1%
3 Charles St	3	< 0.1%
7 Hope St	3	< 0.1%
38 Stewart St	3	< 0.1%
5 Margaret St	3	< 0.1%
1/1 Clarendon St	3	< 0.1%
Other values (23098)	23515	99.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
st	12272	17.3%
rd	4565	6.4%
av	2260	3.2%
ct	965	1.4%
cr	719	1.0%
dr	692	1.0%
gr	481	0.7%
3	445	0.6%
5	428	0.6%
4	422	0.6%
Other values (10156)	47735	67.2%

Most occurring characters

Value	Count	Frequency (%)
	47437	14.8%
t	20425	6.4%
e	16701	5.2%
r	15173	4.7%
a	14749	4.6%
S	13919	4.3%
n	12834	4.0%
1	12474	3.9%
o	11622	3.6%
l	11030	3.4%
Other values (54)	143968	44.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	161156	50.3%
Decimal Number	56174	17.5%
Uppercase Letter	48256	15.1%
Space Separator	47437	14.8%
Other Punctuation	7309	2.3%

Most frequent character per category

Value	Count	Frequency (%)
S	13919	28.8%
R	5811	12.0%
C	4025	8.3%
A	4009	8.3%
B	2450	5.1%
M	2206	4.6%
P	1847	3.8%
D	1831	3.8%
G	1759	3.6%
W	1645	3.4%
Other values (16)	8754	18.1%

Value	Count	Frequency (%)
t	20425	12.7%
e	16701	10.4%
r	15173	9.4%
a	14749	9.2%
n	12834	8.0%
o	11622	7.2%
l	11030	6.8%
d	9990	6.2%
i	8838	5.5%
s	5941	3.7%
Other values (16)	33853	21.0%

Value	Count	Frequency (%)
1	12474	22.2%
2	8570	15.3%
3	6697	11.9%
4	5403	9.6%
5	4694	8.4%
6	4164	7.4%
7	3782	6.7%
0	3757	6.7%
8	3522	6.3%
9	3111	5.5%

Value	Count	Frequency (%)
	47437	100.0%

Value	Count	Frequency (%)
/	7309	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	209412	65.4%
Common	110920	34.6%

Most frequent character per script

Value	Count	Frequency (%)
t	20425	9.8%
e	16701	8.0%
r	15173	7.2%
a	14749	7.0%
S	13919	6.6%
n	12834	6.1%
o	11622	5.5%
l	11030	5.3%
d	9990	4.8%
i	8838	4.2%
Other values (42)	74131	35.4%

Value	Count	Frequency (%)
	47437	42.8%
1	12474	11.2%
2	8570	7.7%
/	7309	6.6%
3	6697	6.0%
4	5403	4.9%
5	4694	4.2%
6	4164	3.8%
7	3782	3.4%
0	3757	3.4%
Other values (2)	6633	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	320332	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	47437	14.8%
t	20425	6.4%
e	16701	5.2%
r	15173	4.7%
a	14749	4.6%
S	13919	4.3%
n	12834	4.0%
1	12474	3.9%
o	11622	3.6%
l	11030	3.4%
Other values (54)	143968	44.9%

Rooms
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.976047904
Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Memory size	184.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	12
Range	11
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	0.9745005716
Coefficient of variation (CV)	0.3274478782
Kurtosis	1.820956665
Mean	2.976047904
Median Absolute Deviation (MAD)	1
Skewness	0.502241333
Sum	70077
Variance	0.9496513641
Monotocity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
3	10076	42.8%
2	6115	26.0%
4	4953	21.0%
1	1119	4.8%
5	1107	4.7%
6	133	0.6%
7	19	0.1%
8	14	0.1%
10	5	< 0.1%
9	4	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1119	4.8%
2	6115	26.0%
3	10076	42.8%
4	4953	21.0%
5	1107	4.7%

Value	Count	Frequency (%)
12	2	< 0.1%
10	5	< 0.1%
9	4	< 0.1%
8	14	0.1%
7	19	0.1%

Type
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	184.1 KiB

h	15760
u	5280
t	2507

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	23547
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	h
2nd row	h
3rd row	h
4th row	u
5th row	h

Value	Count	Frequency (%)
h	15760	66.9%
u	5280	22.4%
t	2507	10.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
h	15760	66.9%
u	5280	22.4%
t	2507	10.6%

Most occurring characters

Value	Count	Frequency (%)
h	15760	66.9%
u	5280	22.4%
t	2507	10.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23547	100.0%

Most frequent character per category

Value	Count	Frequency (%)
h	15760	66.9%
u	5280	22.4%
t	2507	10.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23547	100.0%

Most frequent character per script

Value	Count	Frequency (%)
h	15760	66.9%
u	5280	22.4%
t	2507	10.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23547	100.0%

Most frequent character per block

Value	Count	Frequency (%)
h	15760	66.9%
u	5280	22.4%
t	2507	10.6%

Price
Real number (ℝ_≥0)

MISSING

Distinct	2470
Distinct (%)	13.4%
Missing	5151
Missing (%)	21.9%
Infinite	0
Infinite (%)	0.0%

Mean	1056697.461
Minimum	85000
Maximum	9000000
Zeros	0
Zeros (%)	0.0%
Memory size	184.1 KiB

Quantile statistics

Minimum	85000
5-th percentile	405000
Q1	633000
median	880000
Q3	1302000
95-th percentile	2255000
Maximum	9000000
Range	8915000
Interquartile range (IQR)	669000

Descriptive statistics

Standard deviation	641921.6667
Coefficient of variation (CV)	0.6074791418
Kurtosis	10.37309885
Mean	1056697.461
Median Absolute Deviation (MAD)	306500
Skewness	2.366672689
Sum	1.943900649 × 10¹⁰
Variance	4.120634262 × 10¹¹
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
600000	156	0.7%
1100000	151	0.6%
650000	149	0.6%
800000	144	0.6%
1200000	144	0.6%
1300000	140	0.6%
1000000	134	0.6%
900000	123	0.5%
500000	116	0.5%
750000	116	0.5%
Other values (2460)	17023	72.3%
(Missing)	5151	21.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
85000	1	< 0.1%
121000	1	< 0.1%
131000	1	< 0.1%
145000	2	< 0.1%
160000	1	< 0.1%

Value	Count	Frequency (%)
9000000	1	< 0.1%
8000000	1	< 0.1%
7650000	1	< 0.1%
6800000	1	< 0.1%
6500000	1	< 0.1%

Method
Categorical

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	184.1 KiB

S	13660
SP	3366
PI	3140
VB	1861
SN	1041
Other values (4)	479

Length

Max length	2
Median length	1
Mean length	1.415891621
Min length	1

Characters and Unicode

Total characters	33340
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	SS
2nd row	S
3rd row	S
4th row	VB
5th row	SP

Value	Count	Frequency (%)
S	13660	58.0%
SP	3366	14.3%
PI	3140	13.3%
VB	1861	7.9%
SN	1041	4.4%
PN	209	0.9%
SA	154	0.7%
W	94	0.4%
SS	22	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
s	13660	58.0%
sp	3366	14.3%
pi	3140	13.3%
vb	1861	7.9%
sn	1041	4.4%
pn	209	0.9%
sa	154	0.7%
w	94	0.4%
ss	22	0.1%

Most occurring characters

Value	Count	Frequency (%)
S	18265	54.8%
P	6715	20.1%
I	3140	9.4%
V	1861	5.6%
B	1861	5.6%
N	1250	3.7%
A	154	0.5%
W	94	0.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	33340	100.0%

Most frequent character per category

Value	Count	Frequency (%)
S	18265	54.8%
P	6715	20.1%
I	3140	9.4%
V	1861	5.6%
B	1861	5.6%
N	1250	3.7%
A	154	0.5%
W	94	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	33340	100.0%

Most frequent character per script

Value	Count	Frequency (%)
S	18265	54.8%
P	6715	20.1%
I	3140	9.4%
V	1861	5.6%
B	1861	5.6%
N	1250	3.7%
A	154	0.5%
W	94	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33340	100.0%

Most frequent character per block

Value	Count	Frequency (%)
S	18265	54.8%
P	6715	20.1%
I	3140	9.4%
V	1861	5.6%
B	1861	5.6%
N	1250	3.7%
A	154	0.5%
W	94	0.3%

SellerG
Categorical

HIGH CARDINALITY

Distinct	330
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	184.1 KiB

Nelson	2374
Jellis	2320
Barry	1998
hockingstuart	1943
Marshall	1474
Other values (325)	13438

Length

Max length	27
Median length	6
Mean length	6.384380176
Min length	1

Characters and Unicode

Total characters	150333
Distinct characters	58
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	86 ?
Unique (%)	0.4%

Sample

1st row	Jellis
2nd row	Biggin
3rd row	Biggin
4th row	Rounds
5th row	Biggin

Value	Count	Frequency (%)
Nelson	2374	10.1%
Jellis	2320	9.9%
Barry	1998	8.5%
hockingstuart	1943	8.3%
Marshall	1474	6.3%
Ray	1251	5.3%
Buxton	1242	5.3%
Biggin	665	2.8%
Fletchers	571	2.4%
Woodards	510	2.2%
Other values (320)	9199	39.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
nelson	2374	10.1%
jellis	2320	9.9%
barry	1998	8.5%
hockingstuart	1943	8.3%
marshall	1474	6.3%
ray	1251	5.3%
buxton	1242	5.3%
biggin	665	2.8%
fletchers	571	2.4%
woodards	510	2.2%
Other values (317)	9199	39.1%

Most occurring characters

Value	Count	Frequency (%)
l	13679	9.1%
a	13061	8.7%
r	12158	8.1%
s	11803	7.9%
e	10765	7.2%
o	9423	6.3%
n	8665	5.8%
i	8360	5.6%
t	7064	4.7%
h	5197	3.5%
Other values (48)	50158	33.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	125664	83.6%
Uppercase Letter	24175	16.1%
Other Punctuation	304	0.2%
Decimal Number	190	0.1%

Most frequent character per category

Value	Count	Frequency (%)
B	4841	20.0%
N	2857	11.8%
J	2764	11.4%
M	2564	10.6%
R	2362	9.8%
G	1111	4.6%
W	985	4.1%
H	800	3.3%
F	689	2.9%
T	666	2.8%
Other values (16)	4536	18.8%

Value	Count	Frequency (%)
l	13679	10.9%
a	13061	10.4%
r	12158	9.7%
s	11803	9.4%
e	10765	8.6%
o	9423	7.5%
n	8665	6.9%
i	8360	6.7%
t	7064	5.6%
h	5197	4.1%
Other values (15)	25489	20.3%

Value	Count	Frequency (%)
'	177	58.2%
.	53	17.4%
&	48	15.8%
/	20	6.6%
@	6	2.0%

Value	Count	Frequency (%)
2	95	50.0%
1	95	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	149839	99.7%
Common	494	0.3%

Most frequent character per script

Value	Count	Frequency (%)
l	13679	9.1%
a	13061	8.7%
r	12158	8.1%
s	11803	7.9%
e	10765	7.2%
o	9423	6.3%
n	8665	5.8%
i	8360	5.6%
t	7064	4.7%
h	5197	3.5%
Other values (41)	49664	33.1%

Value	Count	Frequency (%)
'	177	35.8%
2	95	19.2%
1	95	19.2%
.	53	10.7%
&	48	9.7%
/	20	4.0%
@	6	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	150333	100.0%

Most frequent character per block

Value	Count	Frequency (%)
l	13679	9.1%
a	13061	8.7%
r	12158	8.1%
s	11803	7.9%
e	10765	7.2%
o	9423	6.3%
n	8665	5.8%
i	8360	5.6%
t	7064	4.7%
h	5197	3.5%
Other values (48)	50158	33.4%

Date
Categorical

HIGH CARDINALITY

Distinct	58
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	184.1 KiB

27-05-2017	770
23-09-2017	742
16-09-2017	730
03-06-2017	689
26-08-2017	647
Other values (53)	19969

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	235470
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	03-09-2016
2nd row	03-12-2016
3rd row	04-02-2016
4th row	04-02-2016
5th row	04-03-2017

Value	Count	Frequency (%)
27-05-2017	770	3.3%
23-09-2017	742	3.2%
16-09-2017	730	3.1%
03-06-2017	689	2.9%
26-08-2017	647	2.7%
17-06-2017	637	2.7%
24-06-2017	607	2.6%
09-09-2017	598	2.5%
27-11-2016	575	2.4%
03-09-2017	567	2.4%
Other values (48)	16985	72.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
27-05-2017	770	3.3%
23-09-2017	742	3.2%
16-09-2017	730	3.1%
03-06-2017	689	2.9%
26-08-2017	647	2.7%
17-06-2017	637	2.7%
24-06-2017	607	2.6%
09-09-2017	598	2.5%
27-11-2016	575	2.4%
03-09-2017	567	2.4%
Other values (48)	16985	72.1%

Most occurring characters

Value	Count	Frequency (%)
0	52515	22.3%
-	47094	20.0%
1	37925	16.1%
2	36115	15.3%
7	19655	8.3%
6	16089	6.8%
9	6487	2.8%
8	5955	2.5%
3	5007	2.1%
5	4858	2.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	188376	80.0%
Dash Punctuation	47094	20.0%

Most frequent character per category

Value	Count	Frequency (%)
0	52515	27.9%
1	37925	20.1%
2	36115	19.2%
7	19655	10.4%
6	16089	8.5%
9	6487	3.4%
8	5955	3.2%
3	5007	2.7%
5	4858	2.6%
4	3770	2.0%

Value	Count	Frequency (%)
-	47094	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	235470	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	52515	22.3%
-	47094	20.0%
1	37925	16.1%
2	36115	15.3%
7	19655	8.3%
6	16089	6.8%
9	6487	2.8%
8	5955	2.5%
3	5007	2.1%
5	4858	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	235470	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	52515	22.3%
-	47094	20.0%
1	37925	16.1%
2	36115	15.3%
7	19655	8.3%
6	16089	6.8%
9	6487	2.8%
8	5955	2.5%
3	5007	2.1%
5	4858	2.1%

Distance
Real number (ℝ_≥0)

Distinct	211
Distinct (%)	0.9%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	10.30651491
Minimum	0
Maximum	48.1
Zeros	32
Zeros (%)	0.1%
Memory size	184.1 KiB

Quantile statistics

Minimum	0
5-th percentile	2.6
Q1	6.2
median	9.5
Q3	13
95-th percentile	21.1
Maximum	48.1
Range	48.1
Interquartile range (IQR)	6.8

Descriptive statistics

Standard deviation	6.016318012
Coefficient of variation (CV)	0.5837393208
Kurtosis	5.16715539
Mean	10.30651491
Median Absolute Deviation (MAD)	3.5
Skewness	1.674115852
Sum	242677.2
Variance	36.19608242
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11.2	1272	5.4%
9.2	665	2.8%
7.8	570	2.4%
13.9	499	2.1%
4.6	473	2.0%
13	427	1.8%
13.8	425	1.8%
10.5	395	1.7%
5.2	383	1.6%
11.4	382	1.6%
Other values (201)	18055	76.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	32	0.1%
0.7	16	0.1%
1.2	47	0.2%
1.3	15	0.1%
1.4	4	< 0.1%

Value	Count	Frequency (%)
48.1	4	< 0.1%
47.4	3	< 0.1%
47.3	9	< 0.1%
45.9	14	0.1%
45.2	1	< 0.1%

Postcode
Real number (ℝ_≥0)

Distinct	206
Distinct (%)	0.9%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	3109.782893
Minimum	3000
Maximum	3978
Zeros	0
Zeros (%)	0.0%
Memory size	184.1 KiB

Quantile statistics

Minimum	3000
5-th percentile	3013
Q1	3047
median	3101
Q3	3150
95-th percentile	3204
Maximum	3978
Range	978
Interquartile range (IQR)	103

Descriptive statistics

Standard deviation	94.52218971
Coefficient of variation (CV)	0.03039510891
Kurtosis	28.59355041
Mean	3109.782893
Median Absolute Deviation (MAD)	50
Skewness	4.163565827
Sum	73222948
Variance	8934.444347
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3073	629	2.7%
3046	490	2.1%
3020	460	2.0%
3121	457	1.9%
3165	429	1.8%
3058	414	1.8%
3163	411	1.7%
3040	404	1.7%
3032	380	1.6%
3204	379	1.6%
Other values (196)	19093	81.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3000	159	0.7%
3002	44	0.2%
3003	53	0.2%
3006	63	0.3%
3008	14	0.1%

Value	Count	Frequency (%)
3978	3	< 0.1%
3977	14	0.1%
3976	7	< 0.1%
3975	1	< 0.1%
3910	11	< 0.1%

Bedroom2
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	13
Distinct (%)	0.1%
Missing	4481
Missing (%)	19.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.951956362
Minimum	0
Maximum	30
Zeros	17
Zeros (%)	0.1%
Memory size	184.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	30
Range	30
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	0.9960317812
Coefficient of variation (CV)	0.3374141278
Kurtosis	33.60731924
Mean	2.951956362
Median Absolute Deviation (MAD)	1
Skewness	1.667158799
Sum	56282
Variance	0.9920793091
Monotocity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
3	8207	34.9%
2	5059	21.5%
4	3831	16.3%
1	942	4.0%
5	873	3.7%
6	104	0.4%
7	17	0.1%
0	17	0.1%
8	8	< 0.1%
9	5	< 0.1%
Other values (3)	3	< 0.1%
(Missing)	4481	19.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	17	0.1%
1	942	4.0%
2	5059	21.5%
3	8207	34.9%
4	3831	16.3%

Value	Count	Frequency (%)
30	1	< 0.1%
20	1	< 0.1%
10	1	< 0.1%
9	5	< 0.1%
8	8	< 0.1%

Bathroom
Real number (ℝ_≥0)

MISSING

Distinct	10
Distinct (%)	0.1%
Missing	4484
Missing (%)	19.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.570896501
Minimum	0
Maximum	12
Zeros	46
Zeros (%)	0.2%
Memory size	184.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	3
Maximum	12
Range	12
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.7126836776
Coefficient of variation (CV)	0.4536795881
Kurtosis	5.263207479
Mean	1.570896501
Median Absolute Deviation (MAD)	0
Skewness	1.433137743
Sum	29946
Variance	0.5079180243
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	10080	42.8%
2	7273	30.9%
3	1422	6.0%
4	180	0.8%
5	51	0.2%
0	46	0.2%
6	5	< 0.1%
7	3	< 0.1%
8	2	< 0.1%
12	1	< 0.1%
(Missing)	4484	19.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	46	0.2%
1	10080	42.8%
2	7273	30.9%
3	1422	6.0%
4	180	0.8%

Value	Count	Frequency (%)
12	1	< 0.1%
8	2	< 0.1%
7	3	< 0.1%
6	5	< 0.1%
5	51	0.2%

Car
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	13
Distinct (%)	0.1%
Missing	4626
Missing (%)	19.6%
Infinite	0
Infinite (%)	0.0%

Mean	1.6262354
Minimum	0
Maximum	26
Zeros	1385
Zeros (%)	5.9%
Memory size	184.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	2
95-th percentile	3
Maximum	26
Range	26
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.9740484799
Coefficient of variation (CV)	0.5989590929
Kurtosis	25.63523817
Mean	1.6262354
Median Absolute Deviation (MAD)	1
Skewness	2.136242257
Sum	30770
Variance	0.9487704412
Monotocity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
2	8088	34.3%
1	7513	31.9%
0	1385	5.9%
3	1045	4.4%
4	693	2.9%
5	87	0.4%
6	79	0.3%
8	14	0.1%
7	11	< 0.1%
10	3	< 0.1%
Other values (3)	3	< 0.1%
(Missing)	4626	19.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1385	5.9%
1	7513	31.9%
2	8088	34.3%
3	1045	4.4%
4	693	2.9%

Value	Count	Frequency (%)
26	1	< 0.1%
11	1	< 0.1%
10	3	< 0.1%
9	1	< 0.1%
8	14	0.1%

Landsize
Real number (ℝ_≥0)

MISSING
SKEWED
ZEROS

Distinct	1567
Distinct (%)	9.0%
Missing	6137
Missing (%)	26.1%
Infinite	0
Infinite (%)	0.0%

Mean	551.7834578
Minimum	0
Maximum	433014
Zeros	2437
Zeros (%)	10.3%
Memory size	184.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	181
median	448
Q3	656
95-th percentile	1005
Maximum	433014
Range	433014
Interquartile range (IQR)	475

Descriptive statistics

Standard deviation	3544.288014
Coefficient of variation (CV)	6.423331406
Kurtosis	12762.56697
Mean	551.7834578
Median Absolute Deviation (MAD)	238
Skewness	106.0673053
Sum	9606550
Variance	12561977.52
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2437	10.3%
650	125	0.5%
697	89	0.4%
585	67	0.3%
700	58	0.2%
696	54	0.2%
590	50	0.2%
534	49	0.2%
600	46	0.2%
604	46	0.2%
Other values (1557)	14389	61.1%
(Missing)	6137	26.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2437	10.3%
1	3	< 0.1%
2	1	< 0.1%
3	2	< 0.1%
5	1	< 0.1%

Value	Count	Frequency (%)
433014	1	< 0.1%
76000	1	< 0.1%
75100	1	< 0.1%
44500	1	< 0.1%
41400	1	< 0.1%

BuildingArea
Real number (ℝ_≥0)

MISSING
SKEWED

Distinct	688
Distinct (%)	6.9%
Missing	13529
Missing (%)	57.5%
Infinite	0
Infinite (%)	0.0%

Mean	154.5278952
Minimum	0
Maximum	44515
Zeros	30
Zeros (%)	0.1%
Memory size	184.1 KiB

Quantile statistics

Minimum	0
5-th percentile	52
Q1	95
median	129
Q3	180
95-th percentile	305
Maximum	44515
Range	44515
Interquartile range (IQR)	85

Descriptive statistics

Standard deviation	462.5357653
Coefficient of variation (CV)	2.99321857
Kurtosis	8454.277997
Mean	154.5278952
Median Absolute Deviation (MAD)	40
Skewness	88.59840308
Sum	1548060.454
Variance	213939.3342
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
120	144	0.6%
100	129	0.5%
110	123	0.5%
130	117	0.5%
115	102	0.4%
150	96	0.4%
125	92	0.4%
112	89	0.4%
80	89	0.4%
140	85	0.4%
Other values (678)	8952	38.0%
(Missing)	13529	57.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	30	0.1%
0.01	1	< 0.1%
1	13	0.1%
2	18	0.1%
3	23	0.1%

Value	Count	Frequency (%)
44515	1	< 0.1%
6791	1	< 0.1%
4645	1	< 0.1%
3647	1	< 0.1%
3558	1	< 0.1%

YearBuilt
Real number (ℝ_≥0)

MISSING

Distinct	155
Distinct (%)	1.3%
Missing	12007
Missing (%)	51.0%
Infinite	0
Infinite (%)	0.0%

Mean	1964.636742
Minimum	1196
Maximum	2106
Zeros	0
Zeros (%)	0.0%
Memory size	184.1 KiB

Quantile statistics

Minimum	1196
5-th percentile	1900
Q1	1940
median	1970
Q3	2000
95-th percentile	2012
Maximum	2106
Range	910
Interquartile range (IQR)	60

Descriptive statistics

Standard deviation	37.59550363
Coefficient of variation (CV)	0.0191361094
Kurtosis	14.37586387
Mean	1964.636742
Median Absolute Deviation (MAD)	30
Skewness	-1.228668418
Sum	22671908
Variance	1413.421893
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1970	1178	5.0%
1960	971	4.1%
1950	787	3.3%
1900	480	2.0%
1980	470	2.0%
2000	449	1.9%
1930	406	1.7%
1920	405	1.7%
1890	345	1.5%
1910	330	1.4%
Other values (145)	5719	24.3%
(Missing)	12007	51.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1196	1	< 0.1%
1800	1	< 0.1%
1830	1	< 0.1%
1850	4	< 0.1%
1854	2	< 0.1%

Value	Count	Frequency (%)
2106	1	< 0.1%
2018	1	< 0.1%
2017	24	0.1%
2016	77	0.3%
2015	98	0.4%

CouncilArea
Categorical

MISSING

Distinct	34
Distinct (%)	0.2%
Missing	7891
Missing (%)	33.5%
Memory size	184.1 KiB

Boroondara	1677
Moreland	1421
Stonnington	1141
Moonee Valley	1141
Darebin	1113
Other values (29)	9163

Length

Max length	17
Median length	9
Mean length	9.085781809
Min length	4

Characters and Unicode

Total characters	142247
Distinct characters	39
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Yarra
2nd row	Yarra
3rd row	Yarra
4th row	Yarra
5th row	Yarra

Value	Count	Frequency (%)
Boroondara	1677	7.1%
Moreland	1421	6.0%
Stonnington	1141	4.8%
Moonee Valley	1141	4.8%
Darebin	1113	4.7%
Glen Eira	1019	4.3%
Port Phillip	849	3.6%
Maribyrnong	836	3.6%
Yarra	836	3.6%
Banyule	763	3.2%
Other values (24)	4860	20.6%
(Missing)	7891	33.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
boroondara	1677	8.7%
moreland	1421	7.4%
valley	1141	5.9%
moonee	1141	5.9%
stonnington	1141	5.9%
darebin	1113	5.8%
glen	1019	5.3%
eira	1019	5.3%
yarra	863	4.5%
phillip	849	4.4%
Other values (29)	7900	41.0%

Most occurring characters

Value	Count	Frequency (%)
n	17856	12.6%
o	15986	11.2%
a	15155	10.7%
r	13007	9.1%
e	11445	8.0%
i	8321	5.8%
l	8129	5.7%
M	5022	3.5%
t	4415	3.1%
d	4114	2.9%
Other values (29)	38797	27.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	119335	83.9%
Uppercase Letter	19284	13.6%
Space Separator	3628	2.6%

Most frequent character per category

Value	Count	Frequency (%)
n	17856	15.0%
o	15986	13.4%
a	15155	12.7%
r	13007	10.9%
e	11445	9.6%
i	8321	7.0%
l	8129	6.8%
t	4415	3.7%
d	4114	3.4%
y	4099	3.4%
Other values (11)	16808	14.1%

Value	Count	Frequency (%)
M	5022	26.0%
B	4112	21.3%
P	1698	8.8%
D	1191	6.2%
V	1141	5.9%
S	1141	5.9%
G	1097	5.7%
E	1019	5.3%
Y	863	4.5%
W	756	3.9%
Other values (7)	1244	6.5%

Value	Count	Frequency (%)
	3628	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	138619	97.4%
Common	3628	2.6%

Most frequent character per script

Value	Count	Frequency (%)
n	17856	12.9%
o	15986	11.5%
a	15155	10.9%
r	13007	9.4%
e	11445	8.3%
i	8321	6.0%
l	8129	5.9%
M	5022	3.6%
t	4415	3.2%
d	4114	3.0%
Other values (28)	35169	25.4%

Value	Count	Frequency (%)
	3628	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	142247	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	17856	12.6%
o	15986	11.2%
a	15155	10.7%
r	13007	9.1%
e	11445	8.0%
i	8321	5.8%
l	8129	5.7%
M	5022	3.5%
t	4415	3.1%
d	4114	2.9%
Other values (29)	38797	27.3%

Lattitude
Real number (ℝ)

MISSING

Distinct	8837
Distinct (%)	45.9%
Missing	4304
Missing (%)	18.3%
Infinite	0
Infinite (%)	0.0%

Mean	-37.81243432
Minimum	-38.18418
Maximum	-37.40758
Zeros	0
Zeros (%)	0.0%
Memory size	184.1 KiB

Quantile statistics

Minimum	-38.18418
5-th percentile	-37.935737
Q1	-37.8593
median	-37.8097
Q3	-37.7598
95-th percentile	-37.6987
Maximum	-37.40758
Range	0.7766
Interquartile range (IQR)	0.0995

Descriptive statistics

Standard deviation	0.07992583541
Coefficient of variation (CV)	-0.002113744773
Kurtosis	1.705319878
Mean	-37.81243432
Median Absolute Deviation (MAD)	0.0497
Skewness	-0.3165347554
Sum	-727624.6735
Variance	0.006388139166
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-37.8361	25	0.1%
-37.8424	22	0.1%
-37.8198	20	0.1%
-37.7956	17	0.1%
-37.8414	17	0.1%
-37.7969	17	0.1%
-37.8161	16	0.1%
-37.847	16	0.1%
-37.851	16	0.1%
-37.7634	16	0.1%
Other values (8827)	19061	80.9%
(Missing)	4304	18.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-38.18418	1	< 0.1%
-38.18255	1	< 0.1%
-38.18163	1	< 0.1%
-38.17829	1	< 0.1%
-38.17745	1	< 0.1%

Value	Count	Frequency (%)
-37.40758	1	< 0.1%
-37.40853	1	< 0.1%
-37.41318	1	< 0.1%
-37.41381	1	< 0.1%
-37.41495	1	< 0.1%

Longtitude
Real number (ℝ_≥0)

MISSING

Distinct	9584
Distinct (%)	49.8%
Missing	4304
Missing (%)	18.3%
Infinite	0
Infinite (%)	0.0%

Mean	145.0002867
Minimum	144.43162
Maximum	145.52635
Zeros	0
Zeros (%)	0.0%
Memory size	184.1 KiB

Quantile statistics

Minimum	144.43162
5-th percentile	144.833765
Q1	144.9393
median	145.0043
Q3	145.0631
95-th percentile	145.164607
Maximum	145.52635
Range	1.09473
Interquartile range (IQR)	0.1238

Descriptive statistics

Standard deviation	0.106070626
Coefficient of variation (CV)	0.0007315201127
Kurtosis	1.904059951
Mean	145.0002867
Median Absolute Deviation (MAD)	0.06159
Skewness	-0.3123235122
Sum	2790240.516
Variance	0.01125097771
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
144.9966	20	0.1%
144.985	16	0.1%
145.0104	16	0.1%
145.0001	16	0.1%
144.991	16	0.1%
145.0243	16	0.1%
144.9911	15	0.1%
144.9679	15	0.1%
144.997	15	0.1%
145.0116	14	0.1%
Other values (9574)	19084	81.0%
(Missing)	4304	18.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
144.43162	1	< 0.1%
144.43181	1	< 0.1%
144.48571	1	< 0.1%
144.54022	1	< 0.1%
144.54237	1	< 0.1%

Value	Count	Frequency (%)
145.52635	1	< 0.1%
145.51137	1	< 0.1%
145.48273	1	< 0.1%
145.47052	1	< 0.1%
145.46271	1	< 0.1%

Regionname
Categorical

Distinct	8
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	184.1 KiB

Southern Metropolitan	8772
Northern Metropolitan	6480
Western Metropolitan	4561
Eastern Metropolitan	2640
South-Eastern Metropolitan	857
Other values (3)	236

Length

Max length	26
Median length	21
Mean length	20.8293553
Min length	16

Characters and Unicode

Total characters	490448
Distinct characters	21
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Northern Metropolitan
2nd row	Northern Metropolitan
3rd row	Northern Metropolitan
4th row	Northern Metropolitan
5th row	Northern Metropolitan

Value	Count	Frequency (%)
Southern Metropolitan	8772	37.3%
Northern Metropolitan	6480	27.5%
Western Metropolitan	4561	19.4%
Eastern Metropolitan	2640	11.2%
South-Eastern Metropolitan	857	3.6%
Eastern Victoria	107	0.5%
Northern Victoria	78	0.3%
Western Victoria	51	0.2%
(Missing)	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
metropolitan	23310	49.5%
southern	8772	18.6%
northern	6558	13.9%
western	4612	9.8%
eastern	2747	5.8%
south-eastern	857	1.8%
victoria	236	0.5%

Most occurring characters

Value	Count	Frequency (%)
t	71259	14.5%
o	63043	12.9%
r	53650	10.9%
e	51468	10.5%
n	46856	9.6%
a	27150	5.5%
i	23782	4.8%
	23546	4.8%
M	23310	4.8%
p	23310	4.8%
Other values (11)	83074	16.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	418096	85.2%
Uppercase Letter	47949	9.8%
Space Separator	23546	4.8%
Dash Punctuation	857	0.2%

Most frequent character per category

Value	Count	Frequency (%)
t	71259	17.0%
o	63043	15.1%
r	53650	12.8%
e	51468	12.3%
n	46856	11.2%
a	27150	6.5%
i	23782	5.7%
p	23310	5.6%
l	23310	5.6%
h	16187	3.9%
Other values (3)	18081	4.3%

Value	Count	Frequency (%)
M	23310	48.6%
S	9629	20.1%
N	6558	13.7%
W	4612	9.6%
E	3604	7.5%
V	236	0.5%

Value	Count	Frequency (%)
	23546	100.0%

Value	Count	Frequency (%)
-	857	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	466045	95.0%
Common	24403	5.0%

Most frequent character per script

Value	Count	Frequency (%)
t	71259	15.3%
o	63043	13.5%
r	53650	11.5%
e	51468	11.0%
n	46856	10.1%
a	27150	5.8%
i	23782	5.1%
M	23310	5.0%
p	23310	5.0%
l	23310	5.0%
Other values (9)	58907	12.6%

Value	Count	Frequency (%)
	23546	96.5%
-	857	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	490448	100.0%

Most frequent character per block

Value	Count	Frequency (%)
t	71259	14.5%
o	63043	12.9%
r	53650	10.9%
e	51468	10.5%
n	46856	9.6%
a	27150	5.5%
i	23782	4.8%
	23546	4.8%
M	23310	4.8%
p	23310	4.8%
Other values (11)	83074	16.9%

Propertycount
Real number (ℝ_≥0)

Distinct	330
Distinct (%)	1.4%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	7517.480591
Minimum	129
Maximum	21650
Zeros	0
Zeros (%)	0.0%
Memory size	184.1 KiB

Quantile statistics

Minimum	129
5-th percentile	2185
Q1	4385
median	6567
Q3	10331
95-th percentile	15321
Maximum	21650
Range	21521
Interquartile range (IQR)	5946

Descriptive statistics

Standard deviation	4414.995634
Coefficient of variation (CV)	0.5872972441
Kurtosis	1.138227076
Mean	7517.480591
Median Absolute Deviation (MAD)	2694
Skewness	1.056708738
Sum	177006598
Variance	19492186.45
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
21650	629	2.7%
8870	524	2.2%
10969	429	1.8%
14949	416	1.8%
10412	378	1.6%
10331	357	1.5%
14577	357	1.5%
10579	348	1.5%
14887	331	1.4%
11918	330	1.4%
Other values (320)	19447	82.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
129	1	< 0.1%
249	1	< 0.1%
389	11	< 0.1%
394	16	0.1%
438	9	< 0.1%

Value	Count	Frequency (%)
21650	629	2.7%
17496	159	0.7%
17384	9	< 0.1%
17093	21	0.1%
17055	47	0.2%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Suburb	Address	Rooms	Type	Price	Method	SellerG	Date	Distance	Postcode	Bedroom2	Bathroom	Car	Landsize	BuildingArea	YearBuilt	CouncilArea	Lattitude	Longtitude	Regionname	Propertycount
0	Abbotsford	68 Studley St	2	h	NaN	SS	Jellis	03-09-2016	2.5	3067.0	2.0	1.0	1.0	126.0	NaN	NaN	Yarra	-37.8014	144.9958	Northern Metropolitan	4019.0
1	Abbotsford	85 Turner St	2	h	1480000.0	S	Biggin	03-12-2016	2.5	3067.0	2.0	1.0	1.0	202.0	NaN	NaN	Yarra	-37.7996	144.9984	Northern Metropolitan	4019.0
2	Abbotsford	25 Bloomburg St	2	h	1035000.0	S	Biggin	04-02-2016	2.5	3067.0	2.0	1.0	0.0	156.0	79.0	1900.0	Yarra	-37.8079	144.9934	Northern Metropolitan	4019.0
3	Abbotsford	18/659 Victoria St	3	u	NaN	VB	Rounds	04-02-2016	2.5	3067.0	3.0	2.0	1.0	0.0	NaN	NaN	Yarra	-37.8114	145.0116	Northern Metropolitan	4019.0
4	Abbotsford	5 Charles St	3	h	1465000.0	SP	Biggin	04-03-2017	2.5	3067.0	3.0	2.0	0.0	134.0	150.0	1900.0	Yarra	-37.8093	144.9944	Northern Metropolitan	4019.0
5	Abbotsford	40 Federation La	3	h	850000.0	PI	Biggin	04-03-2017	2.5	3067.0	3.0	2.0	1.0	94.0	NaN	NaN	Yarra	-37.7969	144.9969	Northern Metropolitan	4019.0
6	Abbotsford	55a Park St	4	h	1600000.0	VB	Nelson	04-06-2016	2.5	3067.0	3.0	1.0	2.0	120.0	142.0	2014.0	Yarra	-37.8072	144.9941	Northern Metropolitan	4019.0
7	Abbotsford	16 Maugie St	4	h	NaN	SN	Nelson	06-08-2016	2.5	3067.0	3.0	2.0	2.0	400.0	220.0	2006.0	Yarra	-37.7965	144.9965	Northern Metropolitan	4019.0
8	Abbotsford	53 Turner St	2	h	NaN	S	Biggin	06-08-2016	2.5	3067.0	4.0	1.0	2.0	201.0	NaN	1900.0	Yarra	-37.7995	144.9974	Northern Metropolitan	4019.0
9	Abbotsford	99 Turner St	2	h	NaN	S	Collins	06-08-2016	2.5	3067.0	3.0	2.0	1.0	202.0	NaN	1900.0	Yarra	-37.7996	144.9989	Northern Metropolitan	4019.0

Last rows

	Suburb	Address	Rooms	Type	Price	Method	SellerG	Date	Distance	Postcode	Bedroom2	Bathroom	Car	Landsize	BuildingArea	YearBuilt	CouncilArea	Lattitude	Longtitude	Regionname	Propertycount
23537	Wheelers Hill	12 Strada Cr	4	h	1245000.0	S	Barry	26-08-2017	16.7	3150.0	4.0	2.0	2.0	652.0	NaN	1981.0	NaN	-37.90562	145.16761	South-Eastern Metropolitan	7392.0
23538	Williamstown	77 Merrett Dr	3	h	1031000.0	SP	Williams	26-08-2017	6.8	3016.0	3.0	2.0	2.0	333.0	133.0	1995.0	NaN	-37.85927	144.87904	Western Metropolitan	6380.0
23539	Williamstown	83 Power St	3	h	1170000.0	S	Raine	26-08-2017	6.8	3016.0	3.0	2.0	4.0	436.0	NaN	1997.0	NaN	-37.85274	144.88738	Western Metropolitan	6380.0
23540	Williamstown	8/2 Thompson St	2	t	622500.0	SP	Greg	26-08-2017	6.8	3016.0	2.0	2.0	1.0	NaN	89.0	2010.0	NaN	-37.86393	144.90484	Western Metropolitan	6380.0
23541	Williamstown	96 Verdon St	4	h	2500000.0	PI	Sweeney	26-08-2017	6.8	3016.0	4.0	1.0	5.0	866.0	157.0	1920.0	NaN	-37.85908	144.89299	Western Metropolitan	6380.0
23542	Wyndham Vale	25 Clitheroe Dr	3	u	NaN	PN	Harcourts	26-08-2017	27.2	3024.0	3.0	1.0	0.0	552.0	119.0	1990.0	NaN	-37.90032	144.61839	Western Metropolitan	5262.0
23543	Wyndham Vale	19 Dalrymple Bvd	4	h	NaN	S	hockingstuart	26-08-2017	27.2	3024.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	-37.87882	144.60184	Western Metropolitan	5262.0
23544	Yallambie	17 Amaroo Wy	4	h	1100000.0	S	Buckingham	26-08-2017	12.7	3085.0	4.0	3.0	2.0	NaN	NaN	NaN	NaN	-37.72006	145.10547	Northern Metropolitan	1369.0
23545	Yarraville	6 Agnes St	4	h	1285000.0	SP	Village	26-08-2017	6.3	3013.0	4.0	1.0	1.0	362.0	112.0	1920.0	NaN	-37.81188	144.88449	Western Metropolitan	6543.0
23546	Yarraville	33 Freeman St	4	h	1050000.0	VB	Village	26-08-2017	6.3	3013.0	4.0	2.0	2.0	NaN	139.0	1950.0	NaN	-37.81829	144.87404	Western Metropolitan	6543.0

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows